- vision
- language
- time series
- multimodal
- embedded
- internship
- thesis
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Graphical User Interface for a Retrieval-Augmented Generation (RAG) App.
Develop a GUI to allow users to interact with a Retrieval-Augmented Generation (RAG) system.
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Deep Learning Approaches to Star Tracker Attitude Determination
Investigation and development of deep learning methodologies for satellite attitude determination using star trackers to overcome traditional limitations in challenging orbital conditions.
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Enhancing Multimodal RAG Systems through Cross-Modal Retrieval and Reranking
This thesis involves the implementation of a cross-modal retrieval and reranking pipeline.
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Development of a PyTorch-Based Framework for Semantic Segmentation on Point Clouds
A short description of the proposal.
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Improving the Retrieval Module in RAG Systems through Reranking Distillation
This thesis investigates knowledge distillation in the retrieval task, enhancing retrieval efficiency by transferring knowledge from rerankers to retrievers.